Common Voice Scripted Speech 24.0 - Baoule
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 12/5/2025
Format: MP3
Size: 294.70 MB
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Description
A collection of scripted spoken phrases in Baoule.
Specifics
Considerations
Forbidden Usage
It is forbidden to attempt to determine the identity of speakers in the common Voice datasets. It is forbidden to re-host or re-share this dataset
Processes
Intended Use
This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.
Metadata
[Baoule] — Baoule (bci)
This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset
for Baoule (bci). The dataset contains 7178 clips representing 14.82 hours of recorded
speech (11.61 hours validated) from 16 speakers.
Language
According to Ethnologue online Baoulé is a stable indigenous language of Côte d’Ivoire. It belongs to the Niger-Congo language family.
Variants
Demographic information
The dataset includes the following distribution of age and gender.
Gender
Self-declared gender information, percentage refers to the number of clips annotated with this gender.
| Gender | Percentage |
|---|---|
| Undefined | 93.0% |
| Female Feminine | 7.0% |
Age
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 86.0% |
| Twenties | 14.0% |
| Thirties | 1.0% |
Text corpus
Writing system
The writing system used for the collection of sentence prompts for read speech in the dataset is phonetic-based.
Symbol table
Sample
There follows a randomly selected sample of five sentences from the corpus.
Ta lɛ kpaki nin wɔtrɛwa gnan wlu wlɛ ɔ
Klɔʼn ti dĩn kɛ like kwlaa kɔ kpaʼn
Nzue mʼɔ la nglo lɔ plaiiʼn ti kɛ kplo ufue sa
É kán ndɛ é klé i naan ɔ man fie difuɛʼm be kwlaa be gua kpa
Nzue su tɔ dan andɛ, nán ɔ wla fi ɔ tralɛʼm be s
Automatic random samples
Ngue ekun yɛ sran sɔʼm be kunndɛ ɔ?
Tchɛtchɛ ɔ timan sɔ ndɛ.
Kɛ be se kɛ be wun bianʼn, i boʼn yɛle kɛ be simɛn i.
Ba yasuaʼm be su tra jue nzue baʼn nun kɛ wiaʼn fíteʼn.
Ɔ ti sran kun mɔ e simɛn iʼn, yɛ e flɛ i kɛ hey.
Sources
Text domains
| Domain | Count |
|---|---|
| Undefined | 7178 |
Processing
Recommended post-processing
Get involved!
Community links
Discussions
Contribute
https://commonvoice.mozilla.org/bci/
Acknowledgements
The compilation of this dataset occured during data camp organized in Yaoundé (Cameroon) in September-October 2024. Two main contributors were involved in the localization of the MCV interface for Baoule, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :
Amoin Eve Ombreta Audrey Kouame
Guy Jaurès Yao Konan
The organization of the data camp was conducted by a dynamic whose dedication is herewith acknowledged :
Eliette Emilie-Caroline Ngo Tjomb Assembe (Project Lead)
Dr. Florus Landry Dibenge
Blaise Mathieu Banoum Manguele
Blaise Abo Djoulde
Mathilde Nyambe A.
Brice Martial Atangana Eloundou
Jeff Sterling Ngami Kamagoua
José Mpuda Avom
Zacharie Nyobe
Emmanuel Giovanni Eloundou Eyenga
André Pascal Likwai
Datasheet authors
Emmanuel Ngue Um ngueum@gmail.com, Amoin Eve Ombreta Audrey Kouame eveaudreykouame@gmail.com, Guy Jaurès Yao Konan kaunan15@outlook.com
Citation guidelines
Ngué Um E, Ngo Tjomb EEC, Dibengue FL, Banum Manguele BM, Abo Djoulde B, Nyambe MA, Atangana Eloundou BM, Ngami Kamagoua JS, Mpouda Avom J, Nyobe Z, Eloundou Eyenga EG, Likwai AP (2025) Speech Technologies Datasets for African Under-Served Languages. Proceedings of the Eight Workshop on the Use of Computational Methods in the Study of Endangered Languages, edited by Lachler J, Agyapong G, Arppe A, Moeller S, Chaudhary A, Rijhwani S, Rosenblum D. URL Association for Computational Linguistics (ACL),
Funding
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
Licence
This dataset is released under the Creative Commons Zero (CC-0) licence. By downloading this data you agree to not determine the identity of speakers in the dataset.